Sort by
Refine Your Search
-
Listed
-
Employer
- ;
- Durham University
- University of Oxford
- UNIVERSITY OF VIENNA
- KINGS COLLEGE LONDON
- University of London
- AALTO UNIVERSITY
- University of Cambridge
- King's College London
- Heriot Watt University
- Manchester Metropolitan University
- University of Liverpool
- ; University of Oxford
- Imperial College London
- Royal College of Art
- ; King's College London
- DURHAM UNIVERSITY
- Oxford Brookes University
- Swansea University
- University of Sheffield
- ; Maastricht University
- ; Royal Holloway, University of London
- ; Technical University of Denmark
- ; University of Copenhagen
- Aston University
- Birmingham City University
- City University London
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- Medical Research Council
- Nature Careers
- Sheffield Hallam University
- University of Bath
- University of Birmingham
- University of Bristol
- University of Hull
- University of Lincoln
- University of Newcastle
- 27 more »
- « less
-
Field
-
challenge, making energy-efficient computing a critical research priority. This project addresses this challenge through a novel co-design approach that simultaneously optimizes both hardware and software
-
developing characterisations of network models and interactions with methods in statistical machine learning. The post holder provides guidance to junior members of the research group including project
-
broad aims of the group are to develop statistical methods, run applied analyses that address important clinical questions, and disseminate methods in the area of Mendelian randomization, defined as the
-
contributions to exchange of ideas through your own network. Be able to understand, interpret, create and communicate appropriately within a research context. Develop search and discovery skills and techniques
-
analysis) and tumour cell injection (Desirable) Experience of using bioinformatics software and methodologies to analyze multi-omic and therapeutic datasets (e.g. R statistical environment) (Desirable
-
set-ups to conduct experiments on magneto-active (viscoelastic) polymers and will work on the integration of the associated software for the Solids Mechanics side of the project under the guidance
-
developing characterisations of network models and interactions with methods in statistical machine learning. The post holder provides guidance to junior members of the research group including project
-
networks, providing opportunities for social interaction, peer support and personal development (for example, Race Equality, LGBT+, Women’s and Parent’s networks). Recognition Awards to reward staff who go
-
participate in inter-site collaborations as well as regular meetings of the consortium that provide networking opportunities. As a research-focused University embedded in the South Wales Compound Semiconductor
-
consists of a motivated and interdisciplinary team acting in a strong national and international network. This position in the field of bioanalytical chemistry is dedicated to the development and application